Data Science Multiple Choice Questions on “Model Based Prediction”.
1. Which of the following is correct about regularized regression?
a) Can help with bias trade-off
b) Cannot help with model selection
c) Cannot help with variance trade-off
d) All of the mentioned
Answer: a
Explanation: Regularized regression does not perform as well as random forest.
2. Point out the wrong statement.
a) Model based approach may be computationally convenient
b) Model based approach use Bayes theorem
c) Model based approach are reasonably inaccurate on real problems
d) All of the mentioned
Answer: c
Explanation: Model based approach are reasonably accurate on real problems.
3. Which of the following methods are present in caret for regularized regression?
a) ridge
b) lasso
c) relaxo
d) all of the mentioned
Answer: d
Explanation: In caret one can tune over the no of predictors to retain instead of defined values for penalty.
4. Which of the following method can be used to combine different classifiers?
a) Model stacking
b) Model combining
c) Model structuring
d) None of the mentioned
Answer: a
Explanation: Model ensembling is also used for combining different classifiers.
5. Point out the correct statement.
a) Combining classifiers improves interpretability
b) Combining classifiers reduces accuracy
c) Combining classifiers improves accuracy
d) All of the mentioned
Answer: c
Explanation: You can combine classifier by averaging.
6. Which of the following function provides unsupervised prediction?
a) cl_forecast
b) cl_nowcast
c) cl_precast
d) none of the mentioned
Answer: d
Explanation: cl_predict function is clue package provides unsupervised prediction.
7. Model based prediction considers relatively easy version for covariance matrix.
a) True
b) False
Answer: b
Explanation: Model based prediction considers relatively easy version for covariance matrix.
8. Which of the following is used to assist the quantitative trader in the development?
a) quantmod
b) quantile
c) quantity
d) mboost
Answer: a
Explanation: Quandl package is similar to quantmod.
9. Which of the following function can be used for forecasting?
a) predict
b) forecast
c) ets
d) all of the mentioned
Answer: b
Explanation: Forecasting is the process of making predictions of the future based on past and present data and analysis of trends.
10. Predictive analytics is same as forecasting.
a) True
b) False
Answer: b
Explanation: Predictive analytics goes beyond forecasting.